An Approach to Building Intelligent Transport Decision Support Systems

Maksim Kulagin; Valentina Sidorenko; Sergey Mikhailov

doi:10.20295/2412-9186-2026-12-03-202-216

UDC 004.896 UDC 656.2

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AN APPROACH TO BUILDING INTELLIGENT TRANSPORT DECISION SUPPORT SYSTEMS An Approach to Building Intelligent Transport Decision Support Systems

АА Аа

Published in Transport automation research · Volume 12, Issue 3, 2026 · Pages 202–216 · Rubric: INTELLIGENT CONTROL SYSTEMS

DOI: https://doi.org/10.20295/2412-9186-2026-12-03-202-216

Received: 18.09.2026 Accepted: 20.09.2026 Published: 20.09.2026

Authors

Maksim Kulagin

Valentina Sidorenko

Sergey Mikhailov

Maksim Kulagin

Academic degree: candidate of technical sciences

Russian University of Transport (MIIT) Associate Professor · Department of Control and Information Security · Russian Federation · Moscow

Valentina Sidorenko

Academic degree: doctor of technical sciences

Science rang: professor

Russian University of Transport Professor · “Control and Information Security” Department · Russian Federation

Sergey Mikhailov

Academic degree: candidate of technical sciences

Scientific Research Institute of Railway Transport (VNIIZHT) Deputy Head · “Intelligent Technologies” Department · Russian Federation

ABSTRACT

this paper presents a multilevel hierarchical architecture of an intelligent decision support system designed for transportation applications. The proposed architecture integrates the levels of heterogeneous data perception, know ledge and memory formation, feature engineering, forecasting, decision-making, and safety and trust assurance within a unified closedloop framework. For each architectural level, a consistent system of mathematical notation and formalized models is introduced, ensuring methodological compatibility between the levels and enabling model transferability across different application domains. The endto end implementation of all six architectural levels is demonstrated using the example of an intelligent dynamic pricing system for passenger transportation. The proposed approach covers the complete decision-making pipeline, including transactional sales data processing, threelevel train clustering, and generation of tariff policy recommendations using the Single-Player Monte Carlo Tree Search method with a multicriteria reward function. The reward function incorporates target performance indicators, including the planned average yield rate, passenger car capacity utilization coefficient, and the number of transported passengers. It is demonstrated that the mathematical representations of rewards, states, and actions within the intelligent dynamic pricing system are consistent with the unified notation framework of the proposed intelligent decision support system architecture, confirming the applicability and transferability of the developed approach to a wide range of transportation management tasks.

KEYWORDS

intelligent transportation system, decision support system, dynamic pricing, Markov decision process, reinforcement learning, multicriteria optimiza- tion, reward function, Single-Player Monte Carlo Tree Search

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GOST

Kulagin M. A., Sidorenko V. G., Mikhailov S. V. An Approach to Building Intelligent Transport Decision Support Systems // Transport automation research. 2026. no. 3. pp. 202-216. DOI: https://doi.org/10.20295/2412-9186-2026-12-03-202-216. (Date of access 24.09.2026).

MLA

Maksim Kulagin, Sidorenko V. G., Mikhailov S. V.. "An Approach to Building Intelligent Transport Decision Support Systems." Transport automation research 12.3 (2026): 202-216. DOI: https://doi.org/10.20295/2412-9186-2026-12-03-202-216.

APA

Kulagin M. A., Sidorenko V. G., Mikhailov S. V. (2026). An Approach to Building Intelligent Transport Decision Support Systems. Transport automation research, 12(3), 202-216. https://doi.org/10.20295/2412-9186-2026-12-03-202-216

Chicago

Maksim Kulagin, Sidorenko V. G., Mikhailov S. V.. "An Approach to Building Intelligent Transport Decision Support Systems." Transport automation research 12, no. 3 (2026): 202-216. https://doi.org/10.20295/2412-9186-2026-12-03-202-216.

WIKI

{{cite journal | author = Kulagin M. A., Sidorenko V. G., Mikhailov S. V. | title = An Approach to Building Intelligent Transport Decision Support Systems | journal = Transport automation research | year = 2026 | volume = 12 | issue = 3 | pages = 202-216 | doi = 10.20295/2412-9186-2026-12-03-202-216 }}

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AN APPROACH TO BUILDING INTELLIGENT TRANSPORT DECISION SUPPORT SYSTEMS An Approach to Building Intelligent Transport Decision Support Systems

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